Neural Architecture Search

Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning. NAS essentially takes the process of a human manually tweaking a neural network and learning what works well, and automates this task to discover more complex architectures.

Image Credit : NAS with Reinforcement Learning

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1601–1625 of 1915 papers

Title	Date	Tasks	Status	Hype
Efficient Differentiable Neural Architecture Search with Meta Kernels	Dec 10, 2019	Neural Architecture Search	—Unverified	0
Ultrafast Photorealistic Style Transfer via Neural Architecture Search	Dec 5, 2019	Network PruningNeural Architecture Search	—Unverified	0
AdversarialNAS: Adversarial Neural Architecture Search for GANs	Dec 4, 2019	GPUImage Generation	CodeCode Available	0
Multi-Objective Evolutionary Design of Deep Convolutional Neural Networks for Image Classification	Dec 3, 2019	ClassificationComputational Efficiency	CodeCode Available	1
EDAS: Efficient and Differentiable Architecture Search	Dec 3, 2019	GPUNeural Architecture Search	—Unverified	0
DEGAS: Differentiable Efficient Generator Search	Dec 2, 2019	Image GenerationNeural Architecture Search	—Unverified	0
Neural Predictor for Neural Architecture Search	Dec 2, 2019	Neural Architecture Searchregression	CodeCode Available	0
ExperienceThinking: Constrained Hyperparameter Optimization based on Knowledge and Pruning	Dec 2, 2019	BIG-bench Machine LearningHyperparameter Optimization	—Unverified	0
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification	Dec 1, 2019	ClassificationFew-Shot Learning	—Unverified	0
Efficient Neural Architecture Transformation Search in Channel-Level for Object Detection	Dec 1, 2019	image-classificationImage Classification	—Unverified	0
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks	Dec 1, 2019	Model CompressionNeural Architecture Search	CodeCode Available	0
DATA: Differentiable ArchiTecture Approximation	Dec 1, 2019	image-classificationImage Classification	CodeCode Available	0
SGAS: Sequential Greedy Architecture Search	Nov 30, 2019	ClassificationGeneral Classification	CodeCode Available	0
Blockwisely Supervised Neural Architecture Search with Knowledge Distillation	Nov 29, 2019	Knowledge DistillationNeural Architecture Search	CodeCode Available	1
Towards Oracle Knowledge Distillation with Neural Architecture Search	Nov 29, 2019	image-classificationImage Classification	—Unverified	0
Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search	Nov 27, 2019	AutoMLNeural Architecture Search	CodeCode Available	0
Ranking architectures using meta-learning	Nov 26, 2019	Meta-LearningNeural Architecture Search	—Unverified	0
Binarized Neural Architecture Search	Nov 25, 2019	Neural Architecture Search	—Unverified	0
When NAS Meets Robustness: In Search of Robust Architectures against Adversarial Attacks	Nov 25, 2019	Neural Architecture Search	CodeCode Available	0
Meta-Learning of Neural Architectures for Few-Shot Learning	Nov 25, 2019	Few-Shot LearningMeta-Learning	CodeCode Available	1
Exploiting Operation Importance for Differentiable Neural Architecture Search	Nov 24, 2019	Neural Architecture Search	—Unverified	0
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	0
SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection	Nov 22, 2019	GPUNeural Architecture Search	—Unverified	0
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS	Nov 21, 2019	Bayesian OptimizationNeural Architecture Search	—Unverified	0
Data Proxy Generation for Fast and Efficient Neural Architecture Search	Nov 21, 2019	Neural Architecture Search	—Unverified	0

Show:10 25 50

← PrevPage 65 of 77Next →

All datasets ImageNet NAS-Bench-201, ImageNet-16-120 CIFAR-10 NAS-Bench-201, CIFAR-100 NAS-Bench-201, CIFAR-10 CIFAR-10 Image Classification CIFAR-100 NATS-Bench Topology, CIFAR-10 NATS-Bench Topology, CIFAR-100 NATS-Bench Topology, ImageNet16-120 Food-101 NAS-Bench-101

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SPOS (ProxylessNAS (GPU) latency)	Accuracy	75.3	—	Unverified
2	SPOS (FBNet-C latency)	Accuracy	75.1	—	Unverified
3	SPOS (block search + channel search)	Accuracy	74.7	—	Unverified
4	MUXNet-xs	Top-1 Error Rate	33.3	—	Unverified
5	FBNetV2-F1	Top-1 Error Rate	31.7	—	Unverified
6	LayerNAS-60M	Top-1 Error Rate	31	—	Unverified
7	NASGEP	Top-1 Error Rate	29.51	—	Unverified
8	MUXNet-s	Top-1 Error Rate	28.4	—	Unverified
9	NN-MASS-A	Top-1 Error Rate	27.1	—	Unverified
10	FBNetV2-F3	Top-1 Error Rate	26.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CR-LSO	Accuracy (Test)	46.98	—	Unverified
2	Shapley-NAS	Accuracy (Test)	46.85	—	Unverified
3	β-RDARTS-L2	Accuracy (Test)	46.71	—	Unverified
4	β-SDARTS-RS	Accuracy (Test)	46.71	—	Unverified
5	ASE-NAS+	Accuracy (Val)	46.66	—	Unverified
6	NAR	Accuracy (Test)	46.66	—	Unverified
7	BaLeNAS-TF	Accuracy (Test)	46.54	—	Unverified
8	AG-Net	Accuracy (Test)	46.42	—	Unverified
9	Local search	Accuracy (Test)	46.38	—	Unverified
10	NASBOT	Accuracy (Test)	46.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Balanced Mixture	Accuracy (% )	91.55	—	Unverified
2	GDAS	Top-1 Error Rate	3.4	—	Unverified
3	Bonsai-Net	Top-1 Error Rate	3.35	—	Unverified
4	Net2 (2)	Top-1 Error Rate	3.3	—	Unverified
5	μDARTS	Top-1 Error Rate	3.28	—	Unverified
6	NN-MASS- CIFAR-C	Top-1 Error Rate	3.18	—	Unverified
7	NN-MASS- CIFAR-A	Top-1 Error Rate	3	—	Unverified
8	DARTS (first order)	Top-1 Error Rate	3	—	Unverified
9	NASGEP	Top-1 Error Rate	2.82	—	Unverified
10	AlphaX-1 (cutout NASNet)	Top-1 Error Rate	2.82	—	Unverified